Lead Data Engineer
Job Summary
Job Description
Kabam seeks a Lead Data Engineer to design, implement, and support petabyte-scale data pipelines in a GCP environment. Responsibilities include data architecture design, leveraging suitable technologies, code implementation with data orchestration tools (DBT, Airflow, Dataform), code reviews, identifying code improvements, collaborating with data analytics and science teams, data governance, vendor management, and fostering a data-driven culture. The role requires strong technical expertise, leadership skills, and excellent communication. The ideal candidate will have a deep understanding of data architecture, cloud environments, and CI/CD processes.
Must have:
- 6+ years experience
- Data architecture & system design
- GCP experience (BigQuery, Dataform, Dataplex)
- SQL, Python expertise
- Data orchestration (DBT, Airflow, Dataform)
- CI/CD understanding
- Data governance knowledge
Good to have:
- MongoDB experience
- Streaming pipeline experience
- Data science understanding
9 skills required
Job Details
At Kabam, we’re constantly raising the bar of excellence in free-to-play gaming. We hire for passion and diversity so that we can triumph in our collective skill. Our teams are made up of a fusion of personalities and interests bound together by a collaborative nature, fun-loving culture, and a drive to do what it takes to make great games.
We are looking for a Lead Data Engineer who will be responsible for design, implementation and support of petabyte scale data pipelines running in a GCP environment. The data engineering team looks to them for technical expertise and leadership. They work closely with data analytics and data science teams to reconcile requirements and facilitate their work.
In this role, you can expect to be responsible for:
- Data Architecture & System Design
- Design data architecture to meet business requirements with guidance from an understanding of best practices for underlying technologies to promote reliability, efficiency and consistency.
- Decide upon and leverage the most suitable technology for respective goals having evaluated all available options.
- Review designs from other data engineering team members and collaborate for optimal solutions
- Have a holistic view of data infrastructure and flow
- Clearly explain design decisions and technical information to non-technical stakeholders
- Data Development
- Implement pipelines and systems with the highest standard of code
- Work with data orchestration technologies
- Develop within a data-ops framework leveraging CI/CD workflows
- Review code of other data engineers and manage pull requests / code reviews in a source control environment
- Identify opportunities for improvements in existing code and prioritize those against existing workload
- Data Governance
- Work closely with the Data science manager & data director to empower data governance
- Evaluate and implement governance technologies
- Execute security strategy
- Team Integration
- Collaborate closely with internal teams & stakeholders to understand requirements and limitations
- Maintain upstream relationships and appreciate roadmap implications for data engineering
- Manage relationships with and evaluate products from external vendors with respect to potential value, risk & migration/implementation costs
- Effectively handle data incidents clearly communicating timelines and forward solutions
- Foster a data-driven culture through connection. Proactively provide data support and seek out value add.
To be successful in this role, your background includes...
- Bachelor's degree in a related field
- 6+ years of related experience
- Detail-oriented and innate problem solving ability
- Deep understanding of data architecture and system design
- Highly comfortable in a cloud environment
- Experience with data orchestration tools such as DBT, Airflow & Dataform
- Expertise in SQL, Python
- Knowledge of data governance principles and technologies
- Understanding of CI/CD processes
- Solid communication skills
- Mentorship experience
- We have a preference for candidates with:
- GCP experience (bigquery, dataform, dataplex, kubernetes engine)
- Mongo DB experience
- Experience working with a streaming pipeline
- An understanding of data science
Excited by this opportunity? Kabam is dedicated to growing our diverse and inclusive workforce, so if your past experience doesn’t perfectly match the listed requirements we encourage you to apply anyways - you could be a great fit for this or other positions.
We invite you to apply now and start the conversation with us. Together, we can create and support some of the best games ever made and entertain the world!
About Kabam
Kabam is a world leader in developing entertaining, immersive, and highly social multiplayer games, bringing high-quality graphics, next-generation technology, and revolutionary gameplay to players around the world.
Kabam’s games, Marvel Contest of Champions, Shop Titans, and more have generated hundreds of millions of downloads and have received multiple awards including Apple’s Editor’s Choice and Google Play’s Best Game of the Year.
Founded in 2006, Kabam has studios and offices in Vancouver, Montreal and Charlottetown in Canada, Los Angeles and San Francisco in the United States, and in Seoul, South Korea. Kabam is a wholly-owned subsidiary of Netmarble Games.
Kabam is an Equal Employment Opportunity employer committed to building a diverse and equitable workplace, and inclusive environment for all existing and potential employees. Employment decisions are based on candidate qualifications and business need, not race, color, ancestry, place of origin, age, sex (including pregnancy), gender identity or expression, sexual orientation, political belief, religion, creed, marital or family status, medical condition, genetic information, physical or mental disability, military or veteran status, prior criminal conviction or any other protected class in accordance with federal, state or provincial and local laws and ordinances. Accommodations will be provided as requested by candidates taking part in all aspects of the selection process.
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